摘要
为了弥补传统病毒传播模型的缺陷,利用原胞自动机方法模拟了感染概率呈0-1分布、均匀分布、指数分布、幂律分布这四种情况下的病毒传播过程,结果发现当感染概率呈0-1分布时病毒的传播效率最高,而感染概率呈幂律分布时病毒的传播效率最低,这说明个体差异的存在能降低病毒传播的效率。该结论扩充了人们对病毒传播的认识,同时对真实系统的设计具有一定的参考价值。
In classical virus spread model,the effect of individual difference on virus＇ spreading efficiency is seldom discussed.In order to remedy this defect,this paper simulated virus＇ spreading process with cellular automaton method under four cases.In the four cases,the infected probability separately obeyed 0-1 distribution,equal distribution,exponential distribution and power-law distribution.The results show that the virus＇ spreading efficiency is relatively high when infected probability obeys 0-1 distribution and the virus＇ spreading efficiency is relatively low when infected probability obeys power-law distribution,which means that individual difference can reduce virus＇ spreading efficiency.This conclusion expands people＇s knowledge on virus＇ spreading behavior and has referential value for real system＇s design.
出处
《计算机应用研究》
CSCD
北大核心
2011年第10期3797-3798,3827,共3页
Application Research of Computers
基金
贵州省科学技术基金资助项目(20102129)
贵州省教育厅自然科学基金资助项目(20090060
20090133
20070886)
贵州省优秀科技教育人才省长专项基金项目(2009128)
关键词
病毒传播
个体差异
传播效率
virus spreading
individual difference
spreading efficiency
